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Community Needs Assessment Process

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In case items do not fit the scale: should one adapt the measurement instrument<br />

by omitting items, or rather ensure comparability with other (uses of the)<br />

measurement instrument(s)?<br />

In the case of (too) small subgroups: should one drop the hypothesis about intergroup<br />

differences, or use small sample techniques, like exact tests<br />

or bootstrapping?<br />

In case the randomization procedure seems to be defective: can and should one<br />

calculate propensity scores and include them as<br />

covariates in the main analyses?<br />

Analysis<br />

Several analyses<br />

the<br />

can be used during<br />

initial data analysis<br />

phase:<br />

<br />

Univariate<br />

statistics<br />

(single<br />

variable)<br />

Bivariate<br />

associations<br />

(correlations)<br />

Graphical techniques (scatter plots)<br />

It is important to take the measurement levels of the variables into account for the<br />

analyses, as special statistical techniques are available for each level:<br />

<br />

Nominal and ordinal variables<br />

<br />

<br />

Frequency counts (numbers and percentages)<br />

Associations<br />

Page 61 of 137

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